Eric Tan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 31 citations into it

Whom Eric Tan trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
3. Raghuraman Krishnamoorthi (in Computer Vision and Pattern Recognition)
4. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Eric Tan's perspective

Ordered by how strongly the researchers Eric Tan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet: A large-scale hierarchical image database
3. Caffe: Convolutional Architecture for Fast Feature Embedding
4. ImageNet classification with deep convolutional neural networks
5. Automatic differentiation in PyTorch
6. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
7. Optimal Brain Damage
8. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
9. Gradient-based learning applied to document recognition
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• HAWQV3: Dyadic Neural Network Quantization (2020) — 93 citations